Topic Modeling for OLAP on Multidimensional Text Databases: Topic Cube and its Applications

A Publication, Nikunj Oza's Collection - 13 years, 2 months ago

Shared By: Nikunj Oza

As the amount of textual information grows explosively in various kinds of business systems, it becomes more and more desirable to analyze both structured data ...

Detecting Anomalies in Multivariate Data Sets with Switching Sequences and Continuous Streams

A Publication, Nikunj Oza's Collection - 13 years, 2 months ago

Shared By: Nikunj Oza

Theoretically Optimal Distributed Anomaly Detection

A Publication, Nikunj Oza's Collection - 13 years, 2 months ago

Shared By: Nikunj Oza

A novel general framework for distributed anomaly detection with theoretical performance guarantees is proposed. Our algorithmic approach combines existing anomaly detection procedures with a novel ...

Ensemble Data Mining Methods

A Publication, Nikunj Oza's Collection - 13 years, 2 months ago

Shared By: Nikunj Oza

Ensemble Data Mining Methods, also known as Committee Methods or Model Combiners, are machine learning methods that leverage the power of multiple models to achieve ...

Classification of Aeronautics System Health and Safety Documents

A Publication, Nikunj Oza's Collection - 12 years ago

Shared By: Nikunj Oza

Most complex aerospace systems have many text reports on safety, maintenance, and associated issues. The Aviation Safety Reporting System (ASRS) spans several decades and contains ...

Efficient Keyword-Based Search for Top-K Cells in Text Cube

A Publication, Ashok Srivastava's Collection - 11 years, 3 months ago

Shared By: Ashok Srivastava

Previous studies on supporting free-form keyword queries over RDBMSs provide users with linked-structures (e.g.,a set of joined tuples) that are relevant to a given keyword ...

Discriminative Mixed-Membership Models

A Publication, Nikunj Oza's Collection - 13 years, 6 months ago

Shared By: Nikunj Oza

Although mixed-membership models have achieved great success in unsupervised learning, they have not been widely applied to classification problems. In this paper, we propose a ...

Multivariate Time Series Search

An Algorithm, Kanishka Bhaduri's Collection - 13 years, 8 months ago

Shared By: Kanishka Bhaduri

Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and ...

Propulsion Health Monitoring of a Turbine Engine Disk using Spin Test Data

A Publication, Disk Defect Data - 12 years ago

Shared By: Nikunj Oza

On line detection techniques to monitor the health of rotating engine components are becoming increasingly attractive options to aircraft engine companies in order to increase ...